World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
4255
World Ranking
13185
National Ranking
837

Gautam Mitra publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Gautam Mitra sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 143 publications — 24th percentile

24% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Gautam Mitra D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Gautam Mitra sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 32 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Gautam Mitra is affiliated with University College London in the United Kingdom. Their research activity primarily spans the fields of Economics, Econometrics, and Finance, with a particular focus on Finance, Economics and Econometrics, Management Science and Operations Research, and Mechanics of Materials.

The main topics addressed in their work include Financial Markets and Investment Strategies, Market Dynamics and Volatility, Financial Risk and Volatility Modeling, Stock Market Forecasting Methods, Risk and Portfolio Optimization, Banking Stability, Regulation and Efficiency, and Housing Market and Economics.

Recent publications by Mitra reveal a concentration on the application of data analysis and computational methods to financial markets and investment strategies. Notable recent papers include:

  • "Comparative Analysis of NLP Approaches for Earnings Calls" (2022) published in SSRN Electronic Journal
  • "AI, Machine Learning and Sentiment Analysis Applied to Financial Markets and Consumer Markets" (2020) in Computational Management Science
  • "An Impact Measure for News: It's Use in (Daily) Trading Strategies" (2020) in SSRN Electronic Journal
  • "Asset Allocation Strategies: Enhanced by News" (2020) in SSRN Electronic Journal
  • "SWOT Analysis of E-Book Market in India - with Special Reference to Odisha Higher Education Sector" (2022) in ECS Transactions

Their work has been published predominantly in the SSRN Electronic Journal, with other venues including Abstracts with Programs - Geological Society of America, Computational Management Science, and ECS Transactions.

Frequent collaborators include Christopher Kantos, Dan Joldzic, Kieu Thi Hoang, Enza Messina, and Christina Erlwein-Sayer. These coauthors have contributed jointly on several publications, reflecting a collaborative approach across topics related to financial data analysis and market research.

Best Publications

  • Analysis of mathematical programming problems prior to applying the simplex algorithm

    A. L. Brearley;Gautam Mitra;H. Paul Williams

  • Computational aspects of alternative portfolio selection models in the presence of discrete asset choice constraints

    N.J. Jobst;M.D. Horniman;C.A. Lucas;G. Mitra

  • Mathematical Models for Decision Support

    Gautam Mitra

  • Computational solution of capacity planning models under uncertainty

    S. A. MirHassani;C. Lucas;G. Mitra;E. Messina

  • Portfolio construction based on stochastic dominance and target return distributions

    Diana Roman;Ken Darby-Dowman;Gautam Mitra

  • Investigation of some branch and bound strategies for the solution of mixed integer linear programs

    Gautam Mitra

  • Processing second-order stochastic dominance models using cutting-plane representations

    Csaba I. Fábián;Gautam Mitra;Diana Roman

  • Robust optimization and portfolio selection: The cost of robustness

    Christine Gregory;Ken Darby-Dowman;Gautam Mitra

  • Enhanced indexation based on second-order stochastic dominance

    Diana Roman;Gautam Mitra;Victor Zverovich

  • Adapting on-line analytical processing for decision modelling: the interaction of information and decision technologies

    Nikitas-Spiros Koutsoukis;Gautam Mitra;Cormac Lucas

  • Stochastic programming and scenario generation within a simulation framework: An information systems perspective

    Nico Di Domenica;Gautam Mitra;Patrick Valente;George Birbilis

  • Enhanced 3D PET OSEM reconstruction using inter-update Metz filtering.

    M Jacobson;R Levkovitz;A Ben-Tal;K Thielemans

  • A prototype decision support system for strategic planning under uncertainty

    Nikitas‐Spiros Koutsoukis;Belen Dominguez‐Ballesteros;Cormac A. Lucas;Gautam Mitra

  • A computational study of a solver system for processing two-stage stochastic LPs with enhanced Benders decomposition

    Victor Zverovich;Csaba I. Fábián;Eldon F. D. Ellison;Gautam Mitra

  • Tools for reformulating logical forms into zero-one mixed integer programs

    G. Mitra;C. Lucas;S. Moody;E. Hadjiconstantinou

  • Extracting pure network submatrices in linear programs using signed graphs

    N. Gülpinar;G. Gutin;G. Mitra;A. Zverovitch

  • An enhanced model for portfolio choice with SSD criteria: a constructive approach

    Csaba I. Fábián;Gautam Mitra;Diana Roman;Victor Zverovich

  • A review of portfolio planning: Models and systems

    Gautam Mitra;Triphonas Kyriakis;Cormac Lucas;Mehndi Pirbhad

  • Constraint Logic Programming and Integer Programming approaches and their collaboration in solving an assignment scheduling problem

    Ken Darby-Dowman;James Little;Gautam Mitra;Marco Zaffalon

  • Robust solutions and risk measures for a supply chain planning problem under uncertainty

    Chandra A. Poojari;Cormac Lucas;Gautam Mitra

  • Enhanced Indexation Based on Second-Order Stochastic Dominance

    Diana Roman;Gautam Mitra;Victor Zviarovich

  • Models for Decision Making

    Nikitas-Spiros Koutsoukis;Gautam Mitra

Frequent Co-Authors

Keming Yu
Keming Yu Brunel University London
Stavros A. Zenios
Stavros A. Zenios University of Cyprus
Gregory Gutin
Gregory Gutin Royal Holloway University of London
Harvey J. Greenberg
Harvey J. Greenberg University of Colorado Denver
Aharon Ben-Tal
Aharon Ben-Tal Technion – Israel Institute of Technology
Wei Biao Wu
Wei Biao Wu University of Chicago
Elisabetta Pagani
Elisabetta Pagani Vita-Salute San Raffaele University
M. Grazia Speranza
M. Grazia Speranza University of Brescia
Marco Zaffalon
Marco Zaffalon Dalle Molle Institute for Artificial Intelligence Research

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